Journal article 1007 views
Survey of Surveys (SoS) ‐ Mapping The Landscape of Survey Papers in Information Visualization
Computer Graphics Forum, Volume: 36, Issue: 3, Pages: 589 - 617
Swansea University Authors:
Liam McNabb, Bob Laramee
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1111/cgf.13212
Abstract
Information visualization as a field is growing rapidly in popularity since the first information visualization conference in 1995.However, as a consequence of its growth, it is increasingly difficult to follow the growing body of literature within the field.Survey papers and literature reviews are...
| Published in: | Computer Graphics Forum |
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| ISSN: | 0167-7055 1467-8659 |
| Published: |
Wiley
2017
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa33251 |
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| Abstract: |
Information visualization as a field is growing rapidly in popularity since the first information visualization conference in 1995.However, as a consequence of its growth, it is increasingly difficult to follow the growing body of literature within the field.Survey papers and literature reviews are valuable tools for managing the great volume of previously published research papers,and the quantity of survey papers in visualization has reached a critical mass. To this end, this survey paper takes a quantumstep forward by surveying and classifying literature survey papers in order to help researchers understand the current landscapeof Information Visualization. It is, to our knowledge, the first survey of survey papers (SoS) in Information Visualization. Thispaper classifies survey papers into natural topic clusters which enables readers to find relevant literature and develops thefirst classification of classifications. The paper also enables researchers to identify both mature and less developed researchdirections as well as identify future directions. It is a valuable resource for both newcomers and experienced researchers in andoutside the field of Information Visualization and Visual Analytics |
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| College: |
Faculty of Science and Engineering |
| Issue: |
3 |
| Start Page: |
589 |
| End Page: |
617 |